Distributed Software Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Cerebras Systems is a pioneer in large-scale AI supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer‑Scale Cluster technology – a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that is all‑things related to cluster.

• Automate bare‑metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches.
• Additional push‑button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clusters.
• Develop an orchestration and scheduler system for resource allocation, job submission, C placements for a multi‑user environment on a cluster.
• Provide seamless support for both on‑premise and cloud mode deployment and operations.
• Build a robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including high availability of clusters).
• Implement broad cluster and job monitoring and visualization capabilities, along with alerting systems.
• Create user‑facing tools to monitor the status of jobs and collect metrics.
• Develop administrator‑facing tools to manage and operate large clusters.

• Strong track record of software architecture, system design and development.
• Strong track record of development in distributed cluster environments.
• Deep understanding of the Kubernetes (K8s) software ecosystem, Prometheus and Grafana.
• Proficiency in Go, Python, and bash scripting.
• Excellent debugging skills with distributed systems.
• Ability to develop tests for new features and regressions of existing features.

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open‑source cutting‑edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Experience a simple, non‑corporate work culture that respects individual beliefs.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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